A Digital Twin Framework for Precision Neuromusculoskeletal Health Care: Extension Upon Industrial Standards

Author:

Saxby David J.12ORCID,Pizzolato Claudio12ORCID,Diamond Laura E.12ORCID

Affiliation:

1. Giffith Centre of Biomedical and Rehabilitation Engineering, Menzies Health Institute Queensland, Griffith University, Parklands, Australia

2. School of Health Sciences and Social Work, Griffith University, Parklands, Australia

Abstract

There is a powerful global trend toward deeper integration of digital twins into modern life driven by Industry 4.0 and 5.0. Defense, agriculture, engineering, manufacturing, and urban planning sectors have thoroughly incorporated digital twins to great benefit across their respective product lifecycles. Despite clear benefits, a digital twin framework for health and medical sectors is yet to emerge. This paper proposes a digital twin framework for precision neuromusculoskeletal health care. We build upon the International Standards Organization framework for digital twins for manufacturing by presenting best available computational models within a digital twin framework for clinical application. We map a use case for modeling Achilles tendon mechanobiology, highlighting how current modeling practices align with our proposed digital twin framework. Similarly, we map a use case for advanced neurorehabilitation technology, highlighting the role of a digital twin in control of systems where human and machine are interfaced. Future work must now focus on creating an informatic representation to govern how digital data are passed to, from, and within the digital twin, as well as specific standards to declare which measurement systems and modeling methods are acceptable to move toward widespread use of the digital twin framework for precision neuromusculoskeletal health care.

Publisher

Human Kinetics

Subject

Rehabilitation,Orthopedics and Sports Medicine,Biophysics

Reference26 articles.

1. Industry 5.0: Towards a Sustainable, Human-Centric and Resilient European Industry;European Commission, Directorate-General for Research and Innovation,2021

2. Use Case Scenarios for Digital Twin Implementation Based on ISO 23247;Shao G,2021

3. A digital twin implementation architecture for wire + arc additive manufacturing based on ISO 23247;Bong Kim D,2022

4. Digital Twin as a Service (DTaaS) in Industry 4.0: an architecture reference model;Aheleroff S,2021

5. Framework for a digital twin in manufacturing: scope and requirements;Shao G,2020

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3